Growth Motor Development Levels of Young Children in Cricket, Volleyball and Athletics
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International Journal of Academic Research in Business and Social Sciences Vol. 7, Special Issue - 4th International Conference on Educational Research and Practice 2017 ISSN: 2222-6990 Growth Motor Development Levels of Young Children in Cricket, Volleyball and Athletics Borhannudin Abdullah, Nor Amalina Shafie, Aminuddin Yusof, Shamsulariffin Shamsudin and Siti NurSarah Salehhodin Faculty of Educational Studies, Universiti Putra Malaysia, 43400 UPM Serdang, Selangor, Malaysia DOI: 10.6007/IJARBSS/v7-i14/3666 URL: http://dx.doi.org/10.6007/IJARBSS/v7-i14/3666 Abstract The purpose of this study was to identify the gross motor development level of primary school students playing three different sports (athletics, volleyball and cricket). A total of 90 subjects (athletics = 30, volleyball=30, cricket =30) participated in the study. Gross motor development tests Ulrich (2000) with a coefficient of 0.88-0.96 (Hardy, 2009) was conducted to assess the level of gross motor development of young athletes from different sports. There was a significant difference [F (2,87) = 108.2, p = 0.00 ] for gross motor development among young athletes for different sports (athletics, crickets, and volleyball). Post hoc analysis on the GMDQ mean scores showed cricket and volleyball players differed from athletics (p<0.01). Age of locomotor (AEL) scores for the three types of sports also shows significant differences [F (2,87)=86.6, p<0.00] for all three sports. For control object scores (AEM), there were significant differences [F (2,87) = 61.2 , p = 0.00 ] between volleyball and cricket (p <0.01) players. There are differences in gross motor development among young children participating in sports such as athletics, volleyball, and cricket. Keywords: Motor Development, GMDQ, Volleyball Players Introduction Gross motor skills involve the use of large muscle groups in performing daily activities by individuals. Some examples of daily movements that involve gross motor skills are climbing, dancing, running, jumping and kicking. The acquisition of movement skills is very important for young children (Gallahue & Donnelly, 2003) because problems in motor development at an early age may result in less involvement in sports activities or games during childhood and adolescence (Hardy , 2009 ). Applicable motor development involves not only an increase regarding age and physical growth but refers to the physiology, motor system and nervous system. Motor development is a process that is continuous and lifelong starting in the womb until death (Gallahue & Ozmun, 1998). As a child grows, they acquired movement skills and increased physical competence. At this age period, development of basic movement skills children are sensitive (Gallahue & Donnelly, 2003). 265 www.hrmars.com International Journal of Academic Research in Business and Social Sciences Vol. 7, Special Issue - 4th International Conference on Educational Research and Practice 2017 ISSN: 2222-6990 Locomotor skills are the ability to make changes to body movement in activities that involve the whole body such as changing position in galloping, running, or jumping either with one leg or standing long jump and leaping. Object control skills are the ability to manipulate the equipment with the coordination of the body such as hands and feet position either by moving or in a static condition. Examples of object control skills are hitting a stationary ball, bouncing a ball, catching a ball, kicking a ball or throwing a ball. Gross Motor Development Test (TGMD - 2) is a norm-referenced measure of common gross motor skills of children. It has been used by researchers to identify gross motor functioning by combining fun activities with a reliable and valid measure of gross motor development. TGDM-2 measures locomotor skills (run, gallop, hop, leap, horizontal jump, slid) and object control skills (striking a stationary ball, stationary dribble, kick, catch, overhand throw, and underhand roll). Data are collected through video recordings, and scores are awarded based on successful or failed attempts. The literature suggests there are no other measures of gross motor abilities for children aged 3 through 10 years. Physical Education teachers are trained to measure the physical performance of children regarding fitness such as cardiovascular endurance, muscular endurance, flexibility and the ability of the other components of fitness. However, teachers are not trained on how to measure the gross motor development of a child. appropriate instructional program in gross motor skill development. This results in the no assessment of the gross motor functioning of children and teachers are not able to identify children who are significantly behind their peers in gross motor skill development and formulate an appropriate instructional program in gross motor skill development. Consequently, children failed to acquire basic movement skills throughout their childhood and adolescents (Gallahue, 2011; Goodway, Crowe, & Ward; 2003). Since problems in motor development at an early age may result in less involvement in sports activities or games during childhood and adolescence, it is important to study common gross motor skills of children. This study seeks to : 1) Identify the level of gross motor development among young children in the sports of cricket, volleyball and athletics. 2) Determine differences in gross motor development of young children in the sports of cricket, volleyball and athletics. 3) Determine differences in the scores for age equivalent locomotor skills young children in the sports of cricket, volleyball and athletics. 4) Determine differences in the scores for age equivalent object control skills young children in the sports of cricket, volleyball and athletics. Methodology This ex-post facto study involves six tests of locomotor skills and object control skills using the Test of Gross Motor Development (TGMD) by Ulrich (2000). TGMD is a test of skills such as running, walking, gallop, jump on one foot, standing long jump, leaping , and sliding. Object 266 www.hrmars.com International Journal of Academic Research in Business and Social Sciences Vol. 7, Special Issue - 4th International Conference on Educational Research and Practice 2017 ISSN: 2222-6990 control skills test involves hitting a stationary ball, catching, rolling, throwing, kicking and bouncing a ball. Both locomotor skills and control objects contain scores ranging from 0 to 48. The subject chosen was children who represented their school in cricket, volleyball and athletics in the state of Selangor. The gross motor development test (TGMD) is used to measure the development of respondents with the accountability test level, r=.96 to .97 within high contains validity (Anastasi & Urbina, 1997: Wouter, Kristine, Christiane, & Coroline, 2008). Findings ANOVA for Gross Motor Development Quotient (GMDQ) between groups The three groups of subjects were analysed descriptively. Table 1 shows the scores for GMDQ to evaluate the mean and standard deviation for each group of subjects. The mean value for subjects in the cricket group was 46.0 with a standard deviation of 7.02. While the mean value for volleyball subjects was 73.5 with a standard deviation of 12.92 followed by mean of 85.5 for subjects in the athletics group with a standard deviation of 13.1. Table 1. Descriptive Statistics for GMDQ Overall Score according to the Type of Sports Variable Sport N Mean Standard Deviation GMDQ Cricket 30 46.0 7.02 Volleyball 30 73.5 12.92 Athletic 30 85.5 13.1 Subjects in the athletics group obtainde the highest mean and standard deviation (mean = 85.5 , sd = 13.1). Based on ANOVA analysis, there were significant differences in GMDQ scores for three different groups [F (2,87) = 108.2 , p = 0.00 ] as shown in Table 2 . Table 2. Summary of ANOVA for Comparison between Sports Scores GMDQ Variance df Min (Square) F P Value Between Groups 2 12302.5 108.2 0.01 In Groups 87 113.6 Post Hoc Analysis of Gross Motor Development Quotient (GMDQ) between Groups Post hoc analysis (Tukey HSD) is shown in table 3. There is a significant difference in GMDQ scores between those in the athletics group from those in volleyballl and cricket (p <.01). Subjects in the volleyball and cricket gropus also differed significantly also showed a significant difference (p < 01). Table 3. Difference Scores GMDQ Post Hoc Analysis between Sports 267 www.hrmars.com International Journal of Academic Research in Business and Social Sciences Vol. 7, Special Issue - 4th International Conference on Educational Research and Practice 2017 ISSN: 2222-6990 Sport Difference Mean P Value Athletic Volleyball 12.00 0.01 Cricket 39.5 0.01 Volleyball Cricket 27.5 0.01 ANOVA for Age Equivalent Locomotor (AEL) and Age Equivalent Object Control (AEM) between Groups Table 4 shows the mean score for AEL for subjects in the athletics group was 7.30 with a standard deviation of 1.71. For the volleyball group, AEL mean score was 5.73 with a standard deviation of 1.31, followed by cricket (mean=3.10, s.dev = 0.16). For AEM, subjects in the athletics group obtained the highest mean scores of 7.77 with a standard deviation of 1.18 followed by volleyball (mean=6.74) and cricket (mean=3:58). Results of ANOVA analysis age equivalent of locomotor for young athletes, there are significant differences in the level of p <0.05 in AEL score for three games [F (2 , 87) = 86.6 , p = 0.00 ] as shown in Table 5 . Table 4. Descriptive Statistics for Scoring Difference Age Equivalent of Locomotor and ObjectControl Overall by Sports Variable Sport N Mean Standard Deviation Athletic 30 7.30 1.71 AEL Volleyball 30 5.73 1.31 Cricket 30 3.10 0.16 AEM Athletic 30 7.77 1.18 Volleyball 30 6.74 1.88 Cricket 30 3.58 0.37 Table 5. Summary of Comparison on ANOVA for AEL Scores between Sports Variance df Min (Square) F P Value Between Groups 2 135.5 86.6 0.00 In Groups 87 1.56 Table 6 are the results of the analysis ANOVA test showed that there were significant differences [F (2 , 87) = 61.2, p = 0.00] to age equivalent of control object for young athletes in sports.